CCleaner Phishing Detection Scanner

This scanner detects the use of CCleaner phishing in digital assets. It identifies potential phishing schemes targeting CCleaner users to prevent unauthorized access and data theft. This detection is crucial for maintaining security and integrity in online environments.

Short Info


Level

Informational

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

23 days 17 hours

Scan only one

URL

Toolbox

-

CCleaner is primarily used by individuals and businesses to optimize and clean their PCs and remove unwanted files that may slow computer performance. Developed by Piriform (a part of Avast), this software is intended to enhance system performance and privacy by cleaning system junk files and invalid Windows Registry entries. It is popular among IT professionals and non-tech-savvy users alike for its simplicity and effectiveness in maintaining computer health. By regularly using CCleaner, users aim to maintain the efficiency of their computing systems and safeguard their personal data from privacy breaches. The tool's reach and popularity make it a frequent target for phishing attacks. Hence, ensuring the legitimacy of websites claiming to promote or provide access to CCleaner is crucial to avoid phishing traps.

Phishing Detection refers to identifying websites or communications designed to deceive individuals into divulging sensitive information by impersonating a trusted entity like CCleaner. These attacks can lead to unauthorized access to personal accounts and data theft, as they aim to trick users into entering credentials on a fake, yet convincing, interface. Detecting phishing is critical as it protects users from falling victim to these schemes, which often masquerade as legitimate pages to gain trust. By identifying phishing activities, users can be warned against such sites and protect themselves from the potential consequences of data compromise. Phishing Detection scanners analyze online content to ensure user interactions occur only on verified and safe platforms.

The technical aspect of phishing detection involves scanning the HTML and HTTP responses for known patterns associated with imitated entities such as CCleaner. The scanners look for specific keywords and content structures, including titles and meta-tags, which could indicate a phishing attempt. Additionally, they verify the authenticity of the URL against known domains to ensure it matches legitimate hosting parameters. These scanners also check HTTP status codes and server behaviors that are atypical for authentic CCleaner webpages. By focusing on both content and structural aspects of malicious websites, this scanner can effectively identify compromises with greater accuracy and warning capability for users.

If a phishing attack exploiting this vulnerability is successful, users might inadvertently disclose personal information, login credentials, and more to malicious entities. This can result in data breaches, unauthorized access to personal or financial accounts, and further distribution of malware. Subsequently, the affected users may face identity theft, financial loss, and long-term damage to their digital security profile. Beyond individual impacts, successful phishing attacks on a widespread scale can erode overall trust in digital transactions and compromise broader cybersecurity ecosystems. It's critical for users and organizations alike to utilize detection tools to mitigate these risks promptly.

REFERENCES

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